Triple
T6273085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vágar Airport |
E140585
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | Faroe Islands |
E26453
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Faroe Islands | Statement: [Vágar Airport, country, Faroe Islands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faroe Islands Context triple: [Vágar Airport, country, Faroe Islands]
-
A.
Faroe Islands
chosen
The Faroe Islands are a self-governing North Atlantic archipelago under the sovereignty of the Kingdom of Denmark, known for their rugged landscapes, fishing-based economy, and distinct Faroese culture and language.
-
B.
Åland Islands
The Åland Islands are an autonomous, Swedish-speaking archipelago region of Finland known for their strategic location in the Baltic Sea and extensive self-governance.
-
C.
Iceland
Iceland is a Nordic island nation in the North Atlantic known for its dramatic volcanic landscapes, geothermal activity, and high standard of living.
-
D.
Eysturoy
Eysturoy is the second-largest island of the Faroe Islands, known for its rugged mountains, fjords, and traditional fishing villages.
-
E.
Suðuroy
Suðuroy is the southernmost of the Faroe Islands, known for its dramatic coastal cliffs, small fishing villages, and relatively remote, rugged landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063be5a148190a8752426d2d220f8 |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2446ad060819094acd817ba5eadc9 |
completed | March 24, 2026, 7:59 a.m. |
Created at: March 22, 2026, 4:25 p.m.